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icdm-topic-selection

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Use when deciding whether a project is a strong ICDM (IEEE International Conference on Data Mining) fit, choosing among its Research, Applied, and Blue Sky tracks, and comparing ICDM with KDD, SDM, CIKM, WSDM, WWW, ICDE, or the ML flagships by contribution type, sponsor community, and the data-mining routing calendar seen from ICDM's June deadline.

When to use

• deciding ICDM fit
• choosing ICDM track
• comparing ICDM with KDD, SDM, CIKM, WSDM, WWW, ICDE, or ML flagships
• routing based on contribution type
• routing based on sponsor community
• routing based on data-mining calendar

When not to use

• writing the paper
• pure learning theory
• broad deep-learning systems results

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